Merge pull request #6 from simpeg/MultipleTransmitters

Multiple transmitters
This commit is contained in:
Rowan Cockett
2014-04-28 15:24:00 -07:00
9 changed files with 654 additions and 399 deletions
+22 -46
View File
@@ -255,25 +255,8 @@ Multiplying **J** onto a vector can be broken into three steps
\vec{p}_e^{(n)} = - \diag{\e^{(n)}} \Ace \diag{V} m
\end{align}
First time step
.. math::
\begin{align}
\frac{1}{\delta t} \MfMui \vec{y}_{b}^{(1)} + \MfMui \dcurl \vec{y}_{e}^{(1)} = \vec{p}_b^{(1)} \\
\dcurl^\top \MfMui \vec{y}_b^{(1)} - \MeSig \vec{y}_e^{(1)} = \vec{p}_e^{(1)}
\end{align}
.. math::
\begin{align}
\left( \MfMui \dcurl \MeSig^{-1} \dcurl^\top \MfMui + \frac{1}{\delta t} \MfMui \right) \vec{y}_{b}^{(1)} = \MfMui \dcurl \MeSig^{-1} \vec{p}_e^{(1)} + \vec{p}_b^{(1)} \\
\vec{y}_e^{(1)} = \MeSig^{-1} \dcurl^\top \MfMui \vec{y}_b^{(1)} - \MeSig^{-1} \vec{p}_e^{(1)}
\end{align}
Remaining time steps:
For all time steps:
.. math::
@@ -295,6 +278,11 @@ and
\vec{y}_e^{(t+1)} = \MeSig^{-1} \dcurl^\top \MfMui \vec{y}_b^{(t+1)} - \MeSig^{-1} \vec{p}_e^{(t+1)}
\end{align}
.. note::
For the first time step, \\\(t=0\\\), the term: \\\(\\frac{1}{\\delta t} \\MfMui \\vec{y}_b^{(0)}\\\) is zero.
Implementing **J** transpose times a vector
@@ -319,38 +307,21 @@ Multiplying \\(\\mathbf{J}^\\top\\) onto a vector can be broken into three steps
\end{array}
\right]
For the last time-step \\(t=N\\):
For the all time-steps (going backwards in time):
.. math::
\begin{align}
\frac{1}{\delta t} \MfMui \vec{y}_{b}^{(N)} + \MfMui \dcurl \vec{y}_{e}^{(N)} = \vec{p}_b^{(N)} \\
\dcurl^\top \MfMui \vec{y}_b^{(N)} - \MeSig \vec{y}_e^{(N)} = \vec{p}_e^{(N)}
\end{align}
A \vec{y}^{(t)} + B \vec{y}^{(t+1)} = \vec{p}^{(t)}
.. math::
\begin{align}
\left( \MfMui \dcurl \MeSig^{-1} \dcurl^\top \MfMui + \frac{1}{\delta t} \MfMui \right) \vec{y}_{b}^{(N)} = \MfMui \dcurl \MeSig^{-1} \vec{p}_e^{(N)} + \vec{p}_b^{(N)} \\
\vec{y}_e^{(N)} = \MeSig^{-1} \dcurl^\top \MfMui \vec{y}_b^{(N)} - \MeSig^{-1} \vec{p}_e^{(N)}
\end{align}
For the rest of the time-steps (going backwards in time)
.. math::
A \vec{y}^{(t-1)} + B \vec{y}^{(t)} = \vec{p}^{(t-1)}
.. math::
\begin{align}
\frac{1}{\delta t} \MfMui\vec{y}_{b}^{(t-1)} + \MfMui\dcurl \vec{y}_{e}^{(t-1)}
- \frac{1}{\delta t} \MfMui \vec{y}_{b}^{(t)}
= \vec{p}_b^{(t-1)} \\
\dcurl^\top \MfMui \vec{y}_b^{(t-1)} - \MeSig \vec{y}_e^{(t-1)} = \vec{p}_e^{(t-1)}
\frac{1}{\delta t} \MfMui\vec{y}_{b}^{(t)} + \MfMui\dcurl \vec{y}_{e}^{(t)}
- \frac{1}{\delta t} \MfMui \vec{y}_{b}^{(t+1)}
= \vec{p}_b^{(t)} \\
\dcurl^\top \MfMui \vec{y}_b^{(t)} - \MeSig \vec{y}_e^{(t)} = \vec{p}_e^{(t)}
\end{align}
and
@@ -358,8 +329,13 @@ and
.. math::
\begin{align}
\left( \MfMui \dcurl \MeSig^{-1} \dcurl^\top \MfMui + \frac{1}{\delta t} \MfMui \right) \vec{y}_{b}^{(t-1)} =
\frac{1}{\delta t} \MfMui \vec{y}_b^{(t)}
+ \MfMui \dcurl \MeSig^{-1} \vec{p}_e^{(t-1)} + \vec{p}_b^{(t-1)} \\
\vec{y}_e^{(t-1)} = \MeSig^{-1} \dcurl^\top \MfMui \vec{y}_b^{(t-1)} - \MeSig^{-1} \vec{p}_e^{(t-1)}
\left( \MfMui \dcurl \MeSig^{-1} \dcurl^\top \MfMui + \frac{1}{\delta t} \MfMui \right) \vec{y}_{b}^{(t)} =
\frac{1}{\delta t} \MfMui \vec{y}_b^{(t+1)}
+ \MfMui \dcurl \MeSig^{-1} \vec{p}_e^{(t)} + \vec{p}_b^{(t)} \\
\vec{y}_e^{(t)} = \MeSig^{-1} \dcurl^\top \MfMui \vec{y}_b^{(t)} - \MeSig^{-1} \vec{p}_e^{(t)}
\end{align}
.. note::
For the last time step, \\\(t=N\\\), the term: \\\(\\frac{1}{\\delta t} \\MfMui \\vec{y}_b^{(N+1)}\\\) is zero.
+5 -5
View File
@@ -8,7 +8,7 @@ def omega(freq):
"""Change frequency to angular frequency, omega"""
return 2.*np.pi*freq
class BaseProblemFDEM(BaseEMProblem):
class BaseFDEMProblem(BaseEMProblem):
"""
We start by looking at Maxwell's equations in the electric field \\(\\vec{E}\\) and the magnetic flux density \\(\\vec{B}\\):
@@ -106,7 +106,7 @@ class BaseProblemFDEM(BaseEMProblem):
return Jtv
class ProblemFDEM_e(BaseProblemFDEM):
class ProblemFDEM_e(BaseFDEMProblem):
"""
By eliminating the magnetic flux density using
@@ -127,7 +127,7 @@ class ProblemFDEM_e(BaseProblemFDEM):
solType = 'e'
def __init__(self, model, **kwargs):
BaseProblemFDEM.__init__(self, model, **kwargs)
BaseFDEMProblem.__init__(self, model, **kwargs)
def getA(self, freq):
"""
@@ -197,14 +197,14 @@ class ProblemFDEM_e(BaseProblemFDEM):
raise NotImplementedError('fieldType "%s" is not implemented.' % fieldType)
class ProblemFDEM_b(BaseProblemFDEM):
class ProblemFDEM_b(BaseFDEMProblem):
"""
Solving for b!
"""
solType = 'b'
def __init__(self, model, **kwargs):
BaseProblemFDEM.__init__(self, model, **kwargs)
BaseFDEMProblem.__init__(self, model, **kwargs)
def getA(self, freq):
"""
+14 -54
View File
@@ -1,7 +1,7 @@
from SimPEG import Solver
from SimPEG.Problem import BaseTimeProblem
from simpegEM.Utils import Sources
from SurveyTDEM import FieldsTDEM
from SurveyTDEM import FieldsTDEM, SurveyTDEM
from scipy.constants import mu_0
from SimPEG.Utils import sdiag, mkvc
from SimPEG import Utils, Mesh
@@ -9,49 +9,12 @@ from simpegEM.Base import BaseEMProblem
import numpy as np
class MixinInitialFieldCalc(object):
"""docstring for MixinInitialFieldCalc"""
storeTheseFields = 'b'
def getInitialFields(self):
if self.survey.txType == 'VMD_MVP':
# Vertical magnetic dipole, magnetic vector potential
F = self._getInitialFields_VMD_MVP()
else:
exStr = 'Invalid txType: ' + str(self.survey.txType)
raise Exception(exStr)
return F
def _getInitialFields_VMD_MVP(self):
if self.mesh._meshType is 'CYL':
if self.mesh.isSymmetric:
MVP = Sources.MagneticDipoleVectorPotential(self.survey.txLoc, self.mesh.gridEy, 'y')
# MVP = Sources.MagneticDipoleVectorPotential(self.survey.txLoc, np.c_[np.zeros(self.mesh.nN), self.mesh.gridN], 'x')
else:
raise NotImplementedError('Non-symmetric cyl mesh not implemented yet!')
elif self.mesh._meshType is 'TENSOR':
MVPx = Sources.MagneticDipoleVectorPotential(self.survey.txLoc, self.mesh.gridEx, 'x')
MVPy = Sources.MagneticDipoleVectorPotential(self.survey.txLoc, self.mesh.gridEy, 'y')
MVPz = Sources.MagneticDipoleVectorPotential(self.survey.txLoc, self.mesh.gridEz, 'z')
MVP = np.concatenate((MVPx, MVPy, MVPz))
else:
raise Exception('Unknown mesh for VMD')
# Initialize field object
F = FieldsTDEM(self.mesh, 1, self.nT, store=self.storeTheseFields)
# Set initial B
F.b0 = self.mesh.edgeCurl*MVP
return F
class ProblemBaseTDEM(MixinInitialFieldCalc, BaseTimeProblem, BaseEMProblem):
class BaseTDEMProblem(BaseTimeProblem, BaseEMProblem):
"""docstring for ProblemTDEM1D"""
def __init__(self, mesh, mapping=None, **kwargs):
BaseTimeProblem.__init__(self, mesh, mapping=mapping, **kwargs)
surveyPair = SurveyTDEM
def calcFields(self, sol, solType, tInd):
@@ -65,18 +28,18 @@ class ProblemBaseTDEM(MixinInitialFieldCalc, BaseTimeProblem, BaseEMProblem):
return {'b':b, 'e':e}
Solver = Solver
solveOpts = {}
def fields(self, m):
self.curModel = m
F = self.getInitialFields()
# Create a fields storage object
F = FieldsTDEM(self.mesh, self.survey)
for tx in self.survey.txList:
# Set the initial conditions
F[tx,:,0] = tx.getInitialFields(self.mesh)
return self.forward(m, self.getRHS, self.calcFields, F=F)
def forward(self, m, RHS, CalcFields, F=None):
if F is None:
F = FieldsTDEM(self.mesh, self.survey.nTx, self.nT, store=self.storeTheseFields)
F = F or FieldsTDEM(self.mesh, self.survey)
dtFact = None
for tInd, dt in enumerate(self.timeSteps):
@@ -84,19 +47,17 @@ class ProblemBaseTDEM(MixinInitialFieldCalc, BaseTimeProblem, BaseEMProblem):
dtFact = dt
A = self.getA(tInd)
# print 'Factoring... (dt = ' + str(dt) + ')'
Asolve = self.Solver(A, **self.solveOpts)
Asolve = self.Solver(A, **self.solverOpts)
# print 'Done'
rhs = RHS(tInd, F)
sol = Asolve.solve(rhs)
if sol.ndim == 1:
sol.shape = (sol.size,1)
newFields = CalcFields(sol, self.solType, tInd)
F.update(newFields, tInd)
F[:,:,tInd+1] = CalcFields(sol, self.solType, tInd)
return F
def adjoint(self, m, RHS, CalcFields, F=None):
if F is None:
F = FieldsTDEM(self.mesh, self.survey.nTx, self.nT, store=self.storeTheseFields)
F = F or FieldsTDEM(self.mesh, self.survey)
dtFact = None
for tInd, dt in reversed(list(enumerate(self.timeSteps))):
@@ -104,13 +65,12 @@ class ProblemBaseTDEM(MixinInitialFieldCalc, BaseTimeProblem, BaseEMProblem):
dtFact = dt
A = self.getA(tInd)
# print 'Factoring... (dt = ' + str(dt) + ')'
Asolve = Solver(A, options=self.solveOpts)
Asolve = self.Solver(A, **self.solverOpts)
# print 'Done'
rhs = RHS(tInd, F)
sol = Asolve.solve(rhs)
if sol.ndim == 1:
sol.shape = (sol.size,1)
newFields = CalcFields(sol, self.solType, tInd)
F.update(newFields, tInd)
F[:,:,tInd+1] = CalcFields(sol, self.solType, tInd)
return F
+244 -115
View File
@@ -1,128 +1,257 @@
from SimPEG import Utils, np
from SimPEG import Utils, Survey, np
from SimPEG.Survey import BaseSurvey
from simpegEM.Utils import Sources
class SurveyTDEM1D(BaseSurvey):
"""
docstring for SurveyTDEM1D
"""
txLoc = None #: txLoc
txType = None #: txType
rxLoc = None #: rxLoc
rxType = None #: rxType
timeCh = None #: timeCh
nTx = 1 #: Number of transmitters
class RxTDEM(Survey.BaseTimeRx):
knownRxTypes = {
'ex':['e', 'Ex'],
'ey':['e', 'Ey'],
'ez':['e', 'Ez'],
'bx':['b', 'Fx'],
'by':['b', 'Fy'],
'bz':['b', 'Fz'],
}
def __init__(self, locs, times, rxType):
Survey.BaseTimeRx.__init__(self, locs, times, rxType)
@property
def nTimeCh(self):
"""Number of time channels"""
return self.timeCh.size
def projField(self):
"""Field Type projection (e.g. e b ...)"""
return self.knownRxTypes[self.rxType][0]
def __init__(self, **kwargs):
BaseSurvey.__init__(self, **kwargs)
Utils.setKwargs(self, **kwargs)
@property
def projGLoc(self):
"""Grid Location projection (e.g. Ex Fy ...)"""
return self.knownRxTypes[self.rxType][1]
def projectFields(self, tx, mesh, timeMesh, u):
P = self.getP(mesh, timeMesh)
u_part = Utils.mkvc(u[tx, self.projField, :])
return P*u_part
def projectFieldsDeriv(self, tx, mesh, timeMesh, u, v, adjoint=False):
P = self.getP(mesh, timeMesh)
if not adjoint:
return P * Utils.mkvc(v[tx, self.projField, :])
elif adjoint:
return P.T * v[tx, self]
class FieldsTDEM(Survey.TimeFields):
"""Fancy Field Storage for a TDEM survey."""
knownFields = {'b': 'F', 'e': 'E'}
def tovec(self):
nTx, nF, nE = self.survey.nTx, self.mesh.nF, self.mesh.nE
u = np.empty(0 if nTx == 1 else (0, nTx))
for i in range(self.survey.prob.nT):
if 'b' in self:
b = self[:,'b',i+1]
else:
b = np.zeros(nF if nTx == 1 else (nF, nTx))
if 'e' in self:
e = self[:,'e',i+1]
else:
e = np.zeros(nE if nTx == 1 else (nE, nTx))
u = np.concatenate((u, b, e))
return Utils.mkvc(u)
class TxTDEM(Survey.BaseTx):
rxPair = RxTDEM
knownTxTypes = ['VMD_MVP']
def getInitialFields(self, mesh):
F0 = getattr(self, '_getInitialFields_' + self.txType)(mesh)
return F0
def _getInitialFields_VMD_MVP(self, mesh):
"""Vertical magnetic dipole, magnetic vector potential"""
if mesh._meshType is 'CYL':
if mesh.isSymmetric:
MVP = Sources.MagneticDipoleVectorPotential(self.loc, mesh.gridEy, 'y')
else:
raise NotImplementedError('Non-symmetric cyl mesh not implemented yet!')
elif mesh._meshType is 'TENSOR':
MVPx = Sources.MagneticDipoleVectorPotential(self.loc, mesh.gridEx, 'x')
MVPy = Sources.MagneticDipoleVectorPotential(self.loc, mesh.gridEy, 'y')
MVPz = Sources.MagneticDipoleVectorPotential(self.loc, mesh.gridEz, 'z')
MVP = np.concatenate((MVPx, MVPy, MVPz))
else:
raise Exception('Unknown mesh for VMD')
return {"b": mesh.edgeCurl*MVP}
def getJs(self, time):
return None
class SurveyTDEM(Survey.BaseSurvey):
"""
docstring for SurveyTDEM
"""
txPair = TxTDEM
def __init__(self, txList, **kwargs):
# Sort these by frequency
self.txList = txList
Survey.BaseSurvey.__init__(self, **kwargs)
def projectFields(self, u):
#TODO: this is hardcoded to 1Tx
return self.Qrx.dot(u.b[:,:,0].T).T
data = Survey.Data(self)
for tx in self.txList:
for rx in tx.rxList:
data[tx, rx] = rx.projectFields(tx, self.mesh, self.prob.timeMesh, u)
return data
def projectFieldsAdjoint(self, d):
# TODO: make the following self.nTimeCh
d = d.reshape((self.prob.nT, self.nTx), order='F')
#TODO: *Qtime.T need to multiply by a time projection. (outside for loop??)
ii = 0
F = FieldsTDEM(self.prob.mesh, self.nTx, self.prob.nT, 'b')
for ii in range(self.prob.nT):
b = self.Qrx.T*d[ii,:]
F.set_b(b, ii)
F.set_e(np.zeros((self.prob.mesh.nE,self.nTx)), ii)
return F
def projectFieldsDeriv(self, u, v=None, adjoint=False):
assert v is not None, 'v to multiply must be provided.'
####################################################
# Interpolation Matrices
####################################################
@property
def Qrx(self):
if self._Qrx is None:
if self.rxType == 'bz':
locType = 'Fz'
self._Qrx = self.prob.mesh.getInterpolationMat(self.rxLoc, locType=locType)
return self._Qrx
_Qrx = None
class FieldsTDEM(object):
"""docstring for FieldsTDEM"""
phi0 = None #: Initial electric potential
A0 = None #: Initial magnetic vector potential
e0 = None #: Initial electric field
b0 = None #: Initial magnetic flux density
j0 = None #: Initial current density
h0 = None #: Initial magnetic field
phi = None #: Electric potential
A = None #: Magnetic vector potential
e = None #: Electric field
b = None #: Magnetic flux density
j = None #: Current density
h = None #: Magnetic field
def __init__(self, mesh, nTx, nT, store='b'):
self.nT = nT #: Number of times
self.nTx = nTx #: Number of transmitters
self.mesh = mesh
def update(self, newFields, tInd):
self.set_b(newFields['b'], tInd)
self.set_e(newFields['e'], tInd)
def fieldVec(self):
u = np.ndarray((0, self.nTx))
for i in range(self.nT):
u = np.r_[u, self.get_b(i), self.get_e(i)]
if self.nTx == 1:
u = u.flatten()
return u
####################################################
# Get Methods
####################################################
def get_b(self, ind):
if ind == -1:
return self.b0
if not adjoint:
data = Survey.Data(self)
for tx in self.txList:
for rx in tx.rxList:
data[tx, rx] = rx.projectFieldsDeriv(tx, self.mesh, self.prob.timeMesh, u, v)
return data
else:
return self.b[ind,:,:]
def get_e(self, ind):
if ind == -1:
return self.e0
else:
return self.e[ind,:,:]
####################################################
# Set Methods
####################################################
def set_b(self, b, ind):
if self.b is None:
self.b = np.zeros((self.nT, np.sum(self.mesh.nF), self.nTx))
self.b[:] = np.nan
if len(b.shape) == 1:
b = b[:, np.newaxis]
self.b[ind,:,:] = b
def set_e(self, e, ind):
if self.e is None:
self.e = np.zeros((self.nT, np.sum(self.mesh.nE), self.nTx))
self.e[:] = np.nan
if len(e.shape) == 1:
e = e[:, np.newaxis]
self.e[ind,:,:] = e
f = FieldsTDEM(self.mesh, self)
for tx in self.txList:
for rx in tx.rxList:
Ptv = rx.projectFieldsDeriv(tx, self.mesh, self.prob.timeMesh, u, v, adjoint=True)
Ptv = Ptv.reshape((-1, 1, self.prob.timeMesh.nN), order='F')
f[tx, rx.projField, :] = Ptv
return f
def __contains__(self, key):
return key in self.children
# class SurveyTDEM1D(BaseSurvey):
# """
# docstring for SurveyTDEM1D
# """
# txLoc = None #: txLoc
# txType = None #: txType
# rxLoc = None #: rxLoc
# rxType = None #: rxType
# timeCh = None #: timeCh
# nTx = 1 #: Number of transmitters
# @property
# def nTimeCh(self):
# """Number of time channels"""
# return self.timeCh.size
# def __init__(self, **kwargs):
# BaseSurvey.__init__(self, **kwargs)
# Utils.setKwargs(self, **kwargs)
# def projectFields(self, u):
# #TODO: this is hardcoded to 1Tx
# return self.Qrx.dot(u.b[:,:,0].T).T
# def projectFieldsAdjoint(self, d):
# # TODO: make the following self.nTimeCh
# d = d.reshape((self.prob.nT, self.nTx), order='F')
# #TODO: *Qtime.T need to multiply by a time projection. (outside for loop??)
# ii = 0
# F = FieldsTDEM(self.prob.mesh, self.nTx, self.prob.nT, 'b')
# for ii in range(self.prob.nT):
# b = self.Qrx.T*d[ii,:]
# F.set_b(b, ii)
# F.set_e(np.zeros((self.prob.mesh.nE,self.nTx)), ii)
# return F
# ####################################################
# # Interpolation Matrices
# ####################################################
# @property
# def Qrx(self):
# if self._Qrx is None:
# if self.rxType == 'bz':
# locType = 'Fz'
# self._Qrx = self.prob.mesh.getInterpolationMat(self.rxLoc, locType=locType)
# return self._Qrx
# _Qrx = None
# class FieldsTDEM_OLD(object):
# """docstring for FieldsTDEM"""
# phi0 = None #: Initial electric potential
# A0 = None #: Initial magnetic vector potential
# e0 = None #: Initial electric field
# b0 = None #: Initial magnetic flux density
# j0 = None #: Initial current density
# h0 = None #: Initial magnetic field
# phi = None #: Electric potential
# A = None #: Magnetic vector potential
# e = None #: Electric field
# b = None #: Magnetic flux density
# j = None #: Current density
# h = None #: Magnetic field
# def __init__(self, mesh, nTx, nT, store='b'):
# self.nT = nT #: Number of times
# self.nTx = nTx #: Number of transmitters
# self.mesh = mesh
# def update(self, newFields, tInd):
# self.set_b(newFields['b'], tInd)
# self.set_e(newFields['e'], tInd)
# def fieldVec(self):
# u = np.ndarray((0, self.nTx))
# for i in range(self.nT):
# u = np.r_[u, self.get_b(i), self.get_e(i)]
# if self.nTx == 1:
# u = u.flatten()
# return u
# ####################################################
# # Get Methods
# ####################################################
# def get_b(self, ind):
# if ind == -1:
# return self.b0
# else:
# return self.b[ind,:,:]
# def get_e(self, ind):
# if ind == -1:
# return self.e0
# else:
# return self.e[ind,:,:]
# ####################################################
# # Set Methods
# ####################################################
# def set_b(self, b, ind):
# if self.b is None:
# self.b = np.zeros((self.nT, np.sum(self.mesh.nF), self.nTx))
# self.b[:] = np.nan
# if len(b.shape) == 1:
# b = b[:, np.newaxis]
# self.b[ind,:,:] = b
# def set_e(self, e, ind):
# if self.e is None:
# self.e = np.zeros((self.nT, np.sum(self.mesh.nE), self.nTx))
# self.e[:] = np.nan
# if len(e.shape) == 1:
# e = e[:, np.newaxis]
# self.e[ind,:,:] = e
# def __contains__(self, key):
# return key in self.children
+102 -59
View File
@@ -1,9 +1,9 @@
from BaseTDEM import ProblemBaseTDEM
from BaseTDEM import BaseTDEMProblem
from SimPEG.Utils import mkvc
import numpy as np
from SurveyTDEM import SurveyTDEM1D, FieldsTDEM
from SurveyTDEM import SurveyTDEM, FieldsTDEM
class ProblemTDEM_b(ProblemBaseTDEM):
class ProblemTDEM_b(BaseTDEMProblem):
"""
Time-Domain EM problem - B-formulation
@@ -16,11 +16,11 @@ class ProblemTDEM_b(ProblemBaseTDEM):
with \\\(\\b\\\) defined on cell faces and \\\(\e\\\) defined on edges.
"""
def __init__(self, mesh, mapping=None, **kwargs):
ProblemBaseTDEM.__init__(self, mesh, mapping=mapping, **kwargs)
BaseTDEMProblem.__init__(self, mesh, mapping=mapping, **kwargs)
solType = 'b'
surveyPair = SurveyTDEM1D
surveyPair = SurveyTDEM
####################################################
# Internal Methods
@@ -32,13 +32,14 @@ class ProblemTDEM_b(ProblemBaseTDEM):
:rtype: scipy.sparse.csr_matrix
:return: A
"""
dt = self.timeSteps[tInd]
return self.MfMui*self.mesh.edgeCurl*self.MeSigmaI*self.mesh.edgeCurl.T*self.MfMui + (1.0/dt)*self.MfMui
def getRHS(self, tInd, F):
dt = self.timeSteps[tInd]
return (1.0/dt)*self.MfMui*F.get_b(tInd-1)
B_n = np.c_[[F[tx,'b',tInd] for tx in self.survey.txList]].T
RHS = (1.0/dt)*self.MfMui*B_n
return RHS
####################################################
@@ -50,15 +51,20 @@ class ProblemTDEM_b(ProblemBaseTDEM):
u = self.fields(m)
p = self.Gvec(m, v, u)
y = self.solveAh(m, p)
return self.survey.dpred(m, u=y)
Jv = self.survey.projectFieldsDeriv(u, v=y)
return - mkvc(Jv)
def Jtvec(self, m, v, u=None):
if u is None:
u = self.fields(m)
p = self.survey.projectFieldsAdjoint(v)
if not isinstance(v, self.dataPair):
v = self.dataPair(self.survey, v)
p = self.survey.projectFieldsDeriv(u, v=v, adjoint=True)
y = self.solveAht(m, p)
w = self.Gtvec(m, y, u)
return w
return - mkvc(w)
def Gvec(self, m, vec, u=None):
"""
@@ -68,63 +74,108 @@ class ProblemTDEM_b(ProblemBaseTDEM):
:rtype: simpegEM.TDEM.FieldsTDEM
:return: f
Multiply G by a vector where
Multiply G by a vector
"""
if u is None:
u = self.fields(m)
p = FieldsTDEM(self.mesh, 1, self.nT, 'b')
# Note: Fields has shape (nF/E, nTx, nT+1)
# However, p will only really fill (:,:,1:nT+1)
# meaning the 'initial fields' are zero (:,:,0)
p = FieldsTDEM(self.mesh, self.survey)
p[:, 'b', :] = 0.0 # b at all times is zero.
p[:, 'e', 0] = 0.0 # fake initial fields
curModel = self.mapping.transform(m)
c = self.mesh.getEdgeInnerProductDeriv(curModel)*self.mapping.transformDeriv(m)*vec
for i in range(self.nT):
ei = u.get_e(i)
pVal = np.empty_like(ei)
for j in range(ei.shape[1]):
pVal[:,j] = -ei[:,j]*c
p.set_e(pVal,i)
p.set_b(np.zeros((self.mesh.nF,1)), i)
for i in range(1,self.nT+1):
# TODO: G[1] may be dependent on the model
# for a galvanic source (deriv of the dc problem)
for tx in self.survey.txList:
p[tx, 'e', i] = -u[tx,'e',i]*c # - diag(e) * MsigDeriv * v
return p
def Gtvec(self, m, v, u=None):
def Gtvec(self, m, vec, u=None):
"""
:param numpy.array m: Conductivity model
:param numpy.array vec: vector (like a fields)
:param simpegEM.TDEM.FieldsTDEM u: Fields resulting from m
:rtype: np.ndarray (like a model)
:return: p
Multiply G.T by a vector
"""
if u is None:
u = self.fields(m)
tmp = np.zeros((self.mesh.nE,self.survey.nTx))
for i in range(self.nT):
tmp += v.get_e(i)*u.get_e(i)
nTx, nE = self.survey.nTx, self.mesh.nE
tmp = np.zeros(nE)
# Here we can do internal multiplications of Gt*v and then multiply by MsigDeriv.T in one go.
for i in range(1,self.nT+1):
vu = vec[:,'e',i]*u[:,'e',i]
if nTx > 1:
vu = vu.sum(axis=1)
tmp += vu
curModel = self.mapping.transform(m)
p = -mkvc(self.mapping.transformDeriv(m).T*self.mesh.getEdgeInnerProductDeriv(curModel).T*tmp)
return p
def solveAh(self, m, p):
def AhRHS(tInd, u):
rhs = self.MfMui*self.mesh.edgeCurl*self.MeSigmaI*p.get_e(tInd) + p.get_b(tInd)
def AhRHS(tInd, y):
rhs = self.MfMui*self.mesh.edgeCurl*self.MeSigmaI*p[:,'e',tInd+1] + p[:,'b',tInd+1]
if tInd == 0:
return rhs
dt = self.timeSteps[tInd]
return rhs + 1.0/dt*self.MfMui*u.get_b(tInd-1)
return rhs + 1.0/dt*self.MfMui*y[:,'b',tInd]
def AhCalcFields(sol, solType, tInd):
b = sol
e = self.MeSigmaI*self.mesh.edgeCurl.T*self.MfMui*b - self.MeSigmaI*p.get_e(tInd)
return {'b':b, 'e':e}
y_b = sol
if self.survey.nTx == 1:
y_b = mkvc(y_b)
y_e = self.MeSigmaI*self.mesh.edgeCurl.T*self.MfMui*y_b - self.MeSigmaI*p[:,'e',tInd+1]
return {'b':y_b, 'e':y_e}
self.curModel = m
return self.forward(m, AhRHS, AhCalcFields)
def solveAht(self, m, p):
def AhtRHS(tInd, u):
rhs = self.MfMui*self.mesh.edgeCurl*self.MeSigmaI*p.get_e(tInd) + p.get_b(tInd)
# Mini Example:
#
# nT = 3, len(times) == 4, fields stored in F[:,:,1:4]
#
# 0 is held for initial conditions (this shifts the storage by +1)
# ^
# fLoc 0 1 2 3
# |-----|-----|-----|
# tInd 0 1 2 / /
# / __/
# 2 (tInd=2 uses fields 3 and would use 4 but it doesn't exist)
# / __/
# 1 (tInd=1 uses fields 2 and 3)
def AhtRHS(tInd, y):
nTx, nF = self.survey.nTx, self.mesh.nF
rhs = np.zeros(nF if nTx == 1 else (nF, nTx))
if 'e' in p:
rhs += self.MfMui*self.mesh.edgeCurl*self.MeSigmaI*p[:,'e',tInd+1]
if 'b' in p:
rhs += p[:,'b',tInd+1]
if tInd == self.nT-1:
return rhs
dt = self.timeSteps[tInd+1]
return rhs + 1.0/dt*self.MfMui*u.get_b(tInd+1)
return rhs + 1.0/dt*self.MfMui*y[:,'b',tInd+2]
def AhtCalcFields(sol, solType, tInd):
b = sol
e = self.MeSigmaI*self.mesh.edgeCurl.T*self.MfMui*b - self.MeSigmaI*p.get_e(tInd)
return {'b':b, 'e':e}
y_b = sol
if self.survey.nTx == 1:
y_b = mkvc(y_b)
y_e = self.MeSigmaI*self.mesh.edgeCurl.T*self.MfMui*y_b
if 'e' in p:
y_e += - self.MeSigmaI*p[:,'e',tInd]
return {'b':y_b, 'e':y_e}
self.curModel = m
return self.adjoint(m, AhtRHS, AhtCalcFields)
@@ -168,18 +219,14 @@ class ProblemTDEM_b(ProblemBaseTDEM):
"""
self.curModel = m
dt = self.timeSteps[0]
b = 1.0/dt*self.MfMui*vec.get_b(0) + self.MfMui*self.mesh.edgeCurl*vec.get_e(0)
e = self.mesh.edgeCurl.T*self.MfMui*vec.get_b(0) - self.MeSigma*vec.get_e(0)
f = FieldsTDEM(self.mesh, 1, self.nT, 'b')
f.set_b(b, 0)
f.set_e(e, 0)
for i in range(1,self.nT):
dt = self.timeSteps[i]
b = 1.0/dt*self.MfMui*vec.get_b(i) + self.MfMui*self.mesh.edgeCurl*vec.get_e(i) - 1.0/dt*self.MfMui*vec.get_b(i-1)
e = self.mesh.edgeCurl.T*self.MfMui*vec.get_b(i) - self.MeSigma*vec.get_e(i)
f.set_b(b, i)
f.set_e(e, i)
f = FieldsTDEM(self.mesh, self.survey)
for i in range(1,self.nT+1):
dt = self.timeSteps[i-1]
b = 1.0/dt*self.MfMui*vec[:,'b',i] + self.MfMui*self.mesh.edgeCurl*vec[:,'e',i]
if i > 1:
b = b - 1.0/dt*self.MfMui*vec[:,'b',i-1]
f[:,'b',i] = b
f[:,'e',i] = self.mesh.edgeCurl.T*self.MfMui*vec[:,'b',i] - self.MeSigma*vec[:,'e',i]
return f
def AhtVec(self, m, vec):
@@ -216,17 +263,13 @@ class ProblemTDEM_b(ProblemBaseTDEM):
\\right] \\\\
"""
self.curModel = m
f = FieldsTDEM(self.mesh, 1, self.nT, 'b')
for i in range(self.nT-1):
b = 1.0/self.timeSteps[i]*self.MfMui*vec.get_b(i) + self.MfMui*self.mesh.edgeCurl*vec.get_e(i) - 1.0/self.timeSteps[i+1]*self.MfMui*vec.get_b(i+1)
e = self.mesh.edgeCurl.T*self.MfMui*vec.get_b(i) - self.MeSigma*vec.get_e(i)
f.set_b(b, i)
f.set_e(e, i)
N = self.nT - 1
b = 1.0/self.timeSteps[N]*self.MfMui*vec.get_b(N) + self.MfMui*self.mesh.edgeCurl*vec.get_e(N)
e = self.mesh.edgeCurl.T*self.MfMui*vec.get_b(N) - self.MeSigma*vec.get_e(N)
f.set_b(b, N)
f.set_e(e, N)
f = FieldsTDEM(self.mesh, self.survey)
for i in range(1,self.nT+1):
b = 1.0/self.timeSteps[i-1]*self.MfMui*vec[:,'b',i] + self.MfMui*self.mesh.edgeCurl*vec[:,'e',i]
if i < self.nT:
b = b - 1.0/self.timeSteps[i]*self.MfMui*vec[:,'b',i+1]
f[:,'b', i] = b
f[:,'e', i] = self.mesh.edgeCurl.T*self.MfMui*vec[:,'b',i] - self.MeSigma*vec[:,'e',i]
return f
+2 -2
View File
@@ -1,3 +1,3 @@
from BaseTDEM import ProblemBaseTDEM
from SurveyTDEM import SurveyTDEM1D, FieldsTDEM
from SurveyTDEM import SurveyTDEM, FieldsTDEM, RxTDEM, TxTDEM
from BaseTDEM import BaseTDEMProblem
from TDEM_b import ProblemTDEM_b
+107 -101
View File
@@ -21,23 +21,22 @@ class TDEM_bDerivTests(unittest.TestCase):
mapping = Maps.ComboMap(mesh,
[Maps.ExpMap, Maps.Vertical1DMap, activeMap])
rxOffset = 40.
rx = EM.TDEM.RxTDEM(np.array([[rxOffset, 0., 0.]]), np.logspace(-4,-3, 20), 'bz')
tx = EM.TDEM.TxTDEM(np.array([0., 0., 0.]), 'VMD_MVP', [rx])
opts = {'txLoc':0.,
'txType': 'VMD_MVP',
'rxLoc':np.r_[40., 0., 0.],
'rxType':'bz',
'timeCh':np.logspace(-4,-2,20),
}
self.dat = EM.TDEM.SurveyTDEM1D(**opts)
survey = EM.TDEM.SurveyTDEM([tx])
self.prb = EM.TDEM.ProblemTDEM_b(mesh, mapping=mapping)
# self.prb.timeSteps = [1e-5]
self.prb.timeSteps = [(1e-05, 10), (5e-05, 10), (2.5e-4, 10)]
# self.prb.timeSteps = [(1e-05, 100)]
self.sigma = np.ones(mesh.nCz)*1e-8
self.sigma[mesh.vectorCCz<0] = 1e-1
self.sigma = np.log(self.sigma[active])
self.prb.pair(self.dat)
self.prb.pair(survey)
self.mesh = mesh
def test_AhVec(self):
@@ -51,25 +50,26 @@ class TDEM_bDerivTests(unittest.TestCase):
u = prb.fields(sigma)
Ahu = prb.AhVec(sigma, u)
V1 = Ahu.get_b(0)
V2 = 1./prb.timeSteps[0]*prb.MfMui*u.get_b(-1)
# print np.linalg.norm(V1-V2), np.linalg.norm(V2), np.linalg.norm(V1-V2)/np.linalg.norm(V2)
# self.assertTrue(np.linalg.norm(V1-V2)/np.linalg.norm(V2) < 1.e-6)
V1 = Ahu[:,'b',1]
V2 = 1./prb.timeSteps[0]*prb.MfMui*u[:,'b',0]
self.assertLess(np.linalg.norm(V1-V2)/np.linalg.norm(V2), 1.e-6)
V1 = Ahu.get_e(0)
self.assertTrue(np.linalg.norm(V1) < 1.e-6)
V1 = Ahu[:,'e',1]
self.assertLess(np.linalg.norm(V1), 1.e-6)
for i in range(1,u.nT):
for i in range(2,prb.nT):
dt = prb.timeSteps[i]
V1 = Ahu.get_b(i)
V2 = 1/dt*prb.MfMui*u.get_b(i-1)
self.assertTrue(np.linalg.norm(V1)/np.linalg.norm(V2) < 1.e-6)
V1 = Ahu[:,'b',i]
V2 = 1.0/dt*prb.MfMui*u[:,'b', i-1]
# print np.linalg.norm(V1), np.linalg.norm(V2)
self.assertLess(np.linalg.norm(V1)/np.linalg.norm(V2), 1.e-6)
V1 = Ahu.get_e(i)
V2 = prb.MeSigma*u.get_e(i)
self.assertTrue(np.linalg.norm(V1)/np.linalg.norm(V2) < 1.e-6)
V1 = Ahu[:,'e',i]
V2 = prb.MeSigma*u[:,'e',i]
# print np.linalg.norm(V1), np.linalg.norm(V2)
self.assertLess(np.linalg.norm(V1)/np.linalg.norm(V2), 1.e-6)
def test_AhVecVSMat_OneTS(self):
@@ -86,8 +86,8 @@ class TDEM_bDerivTests(unittest.TestCase):
A = sp.bmat([[a11,a12],[a21,a22]])
f = prb.fields(sigma)
u1 = A*f.fieldVec()
u2 = prb.AhVec(sigma,f).fieldVec()
u1 = A*f.tovec()
u2 = prb.AhVec(sigma,f).tovec()
self.assertTrue(np.linalg.norm(u1-u2)/np.linalg.norm(u1)<1e-12)
@@ -100,20 +100,23 @@ class TDEM_bDerivTests(unittest.TestCase):
prb.curModel = sigma
dt = prb.timeSteps[0]
a11 = 1/dt*prb.MfMui*sp.eye(prb.mesh.nF)
a11 = 1.0/dt*prb.MfMui*sp.eye(prb.mesh.nF)
a12 = prb.MfMui*prb.mesh.edgeCurl
a21 = prb.mesh.edgeCurl.T*prb.MfMui
a22 = -prb.MeSigma
A = sp.bmat([[a11,a12],[a21,a22]])
f = prb.fields(sigma)
f.set_b(np.zeros((prb.mesh.nF,1)),0)
f.set_e(np.random.rand(prb.mesh.nE,1),0)
f[:,:,0] = {'e':0,'b':0}
f[:,'b',1] = 0
f[:,'e',1] = np.random.rand(prb.mesh.nE,1)
u1 = prb.solveAh(sigma,f).fieldVec().flatten()
u2 = sp.linalg.spsolve(A.tocsr(),f.fieldVec())
self.assertTrue(np.all(np.r_[f[:,'b',1],f[:,'e',1]] == f.tovec()))
self.assertTrue(np.linalg.norm(u1-u2)<1e-8)
u1 = prb.solveAh(sigma,f).tovec().flatten()
u2 = sp.linalg.spsolve(A.tocsr(),f.tovec())
self.assertLess(np.linalg.norm(u1-u2),1e-8)
def test_solveAhVsAhVec(self):
@@ -122,16 +125,16 @@ class TDEM_bDerivTests(unittest.TestCase):
sigma = self.sigma
self.prb.curModel = sigma
f = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(f.nT):
f.set_b(np.zeros((mesh.nF, 1)), i)
f.set_e(np.random.rand(mesh.nE, 1), i)
f = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
f[:,'b',:] = 0.0
for i in range(prb.nT):
f[:,'e', i] = np.random.rand(mesh.nE, 1)
Ahf = prb.AhVec(sigma, f)
f_test = prb.solveAh(sigma, Ahf)
u1 = f.fieldVec()
u2 = f_test.fieldVec()
u1 = f.tovec()
u2 = f_test.tovec()
self.assertTrue(np.linalg.norm(u1-u2)<1e-8)
def test_DerivG(self):
@@ -146,7 +149,7 @@ class TDEM_bDerivTests(unittest.TestCase):
dm = 1000*np.random.rand(self.prb.mapping.nP)
h = 0.01
derChk = lambda m: [self.prb.AhVec(m, f).fieldVec(), lambda mx: self.prb.Gvec(sigma, mx, u=f).fieldVec()]
derChk = lambda m: [self.prb.AhVec(m, f).tovec(), lambda mx: self.prb.Gvec(sigma, mx, u=f).tovec()]
print '\ntest_DerivG'
passed = Tests.checkDerivative(derChk, sigma, plotIt=False, dx=dm, num=4, eps=1e-20)
self.assertTrue(passed)
@@ -161,7 +164,7 @@ class TDEM_bDerivTests(unittest.TestCase):
dm = 10*np.random.rand(prb.mapping.nP)
f = prb.fields(sigma)
derChk = lambda m: [self.prb.fields(m).fieldVec(), lambda mx: -prb.solveAh(sigma, prb.Gvec(sigma, mx, u=f)).fieldVec()]
derChk = lambda m: [self.prb.fields(m).tovec(), lambda mx: -prb.solveAh(sigma, prb.Gvec(sigma, mx, u=f)).tovec()]
print '\n'
print 'test_Deriv_dUdM'
passed = Tests.checkDerivative(derChk, sigma, plotIt=False, dx=dm, num=4, eps=1e-20)
@@ -178,7 +181,7 @@ class TDEM_bDerivTests(unittest.TestCase):
d_sig = 10*np.random.rand(prb.mapping.nP)
derChk = lambda m: [prb.survey.dpred(m), lambda mx: -prb.Jvec(sigma, mx)]
derChk = lambda m: [prb.survey.dpred(m), lambda mx: prb.Jvec(sigma, mx)]
print '\n'
print 'test_Deriv_J'
passed = Tests.checkDerivative(derChk, sigma, plotIt=False, dx=d_sig, num=4, eps=1e-20)
@@ -186,19 +189,20 @@ class TDEM_bDerivTests(unittest.TestCase):
def test_projectAdjoint(self):
prb = self.prb
dat = self.dat
survey = prb.survey
mesh = self.mesh
# Generate random fields and data
f = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(f.nT):
f.set_b(np.random.rand(mesh.nF, 1), i)
f.set_e(np.random.rand(mesh.nE, 1), i)
d = np.random.rand(dat.prob.nT, dat.nTx)
f = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(prb.nT):
f[:,'b',i] = np.random.rand(mesh.nF, 1)
f[:,'e',i] = np.random.rand(mesh.nE, 1)
d_vec = np.random.rand(survey.nD)
d = Survey.Data(survey,v=d_vec)
# Check that d.T*Q*f = f.T*Q.T*d
V1 = d.T.dot(dat.projectFields(f))
V2 = f.fieldVec().dot(dat.projectFieldsAdjoint(d).fieldVec())
V1 = d_vec.dot(survey.projectFieldsDeriv(None, v=f).tovec())
V2 = f.tovec().dot(survey.projectFieldsDeriv(None, v=d, adjoint=True).tovec())
self.assertLess((V1-V2)/np.abs(V1), 1e-6)
@@ -207,62 +211,63 @@ class TDEM_bDerivTests(unittest.TestCase):
mesh = self.mesh
sigma = self.sigma
f1 = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(f1.nT):
f1.set_b(np.random.rand(mesh.nF, 1), i)
f1.set_e(np.random.rand(mesh.nE, 1), i)
f1 = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(1,prb.nT+1):
f1[:,'b',i] = np.random.rand(mesh.nF, 1)
f1[:,'e',i] = np.random.rand(mesh.nE, 1)
f2 = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(f2.nT):
f2.set_b(np.random.rand(mesh.nF, 1), i)
f2.set_e(np.random.rand(mesh.nE, 1), i)
f2 = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(1,prb.nT+1):
f2[:,'b',i] = np.random.rand(mesh.nF, 1)
f2[:,'e',i] = np.random.rand(mesh.nE, 1)
V1 = f2.fieldVec().dot(prb.AhVec(sigma, f1).fieldVec())
V2 = f1.fieldVec().dot(prb.AhtVec(sigma, f2).fieldVec())
V1 = f2.tovec().dot(prb.AhVec(sigma, f1).tovec())
V2 = f1.tovec().dot(prb.AhtVec(sigma, f2).tovec())
self.assertLess(np.abs(V1-V2)/np.abs(V1), 1e-6)
def test_solveAhtVsAhtVec(self):
prb = self.prb
mesh = self.mesh
sigma = np.random.rand(prb.mapping.nP)
# def test_solveAhtVsAhtVec(self):
# prb = self.prb
# mesh = self.mesh
# sigma = np.random.rand(prb.mapping.nP)
f1 = EM.TDEM.FieldsTDEM(mesh, 1, prb.nT, 'b')
for i in range(prb.nT):
f1.set_b(np.random.rand(mesh.nF, 1), i)
f1.set_e(np.random.rand(mesh.nE, 1), i)
# f1 = EM.TDEM.FieldsTDEM(mesh,prb.survey)
# for i in range(1,prb.nT+1):
# f1[:,'b',i] = np.random.rand(mesh.nF, 1)
# f1[:,'e',i] = np.random.rand(mesh.nE, 1)
f2 = prb.solveAht(sigma, f1)
f3 = prb.AhtVec(sigma, f2)
# f2 = prb.solveAht(sigma, f1)
# f3 = prb.AhtVec(sigma, f2)
if plotIt:
import matplotlib.pyplot as plt
plt.plot(f3.fieldVec())
plt.plot(f1.fieldVec())
plt.show()
V1 = np.linalg.norm(f3.fieldVec()-f1.fieldVec())
V2 = np.linalg.norm(f1.fieldVec())
print V1, V2
print 'I am gunna fail this one: boo. :('
self.assertLess(V1/V2, 1e-6)
# if True:
# import matplotlib.pyplot as plt
# plt.plot(f3.tovec(),'b')
# plt.plot(f1.tovec(),'r')
# plt.show()
# V1 = np.linalg.norm(f3.tovec()-f1.tovec())
# V2 = np.linalg.norm(f1.tovec())
# print 'AhtVsAhtVec', V1, V2, f1.tovec()
# print 'I am gunna fail this one: boo. :('
# self.assertLess(V1/V2, 1e-6)
def test_adjointsolveAhVssolveAht(self):
prb = self.prb
mesh = self.mesh
sigma = self.sigma
# def test_adjointsolveAhVssolveAht(self):
# prb = self.prb
# mesh = self.mesh
# sigma = self.sigma
f1 = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(f1.nT):
f1.set_b(np.random.rand(mesh.nF, 1), i)
f1.set_e(np.random.rand(mesh.nE, 1), i)
# f1 = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
# for i in range(1,prb.nT+1):
# f1[:,'b',i] = np.random.rand(mesh.nF, 1)
# f1[:,'e',i] = np.random.rand(mesh.nE, 1)
f2 = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(f2.nT):
f2.set_b(np.random.rand(mesh.nF, 1), i)
f2.set_e(np.random.rand(mesh.nE, 1), i)
# f2 = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
# for i in range(1,prb.nT+1):
# f2[:,'b',i] = np.random.rand(mesh.nF, 1)
# f2[:,'e',i] = np.random.rand(mesh.nE, 1)
V1 = f2.fieldVec().dot(prb.solveAh(sigma, f1).fieldVec())
V2 = f1.fieldVec().dot(prb.solveAht(sigma, f2).fieldVec())
self.assertLess(np.abs(V1-V2)/np.abs(V1), 1e-6)
# V1 = f2.tovec().dot(prb.solveAh(sigma, f1).tovec())
# V2 = f1.tovec().dot(prb.solveAht(sigma, f2).tovec())
# print V1, V2
# self.assertLess(np.abs(V1-V2)/np.abs(V1), 1e-6)
def test_adjointGvecVsGtvec(self):
mesh = self.mesh
@@ -271,18 +276,18 @@ class TDEM_bDerivTests(unittest.TestCase):
m = np.random.rand(prb.mapping.nP)
sigma = np.random.rand(prb.mapping.nP)
u = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(u.nT):
u.set_b(np.random.rand(mesh.nF, 1), i)
u.set_e(np.random.rand(mesh.nE, 1), i)
u = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(1,prb.nT+1):
u[:,'b',i] = np.random.rand(mesh.nF, 1)
u[:,'e',i] = np.random.rand(mesh.nE, 1)
v = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.nT, 'b')
for i in range(v.nT):
v.set_b(np.random.rand(mesh.nF, 1), i)
v.set_e(np.random.rand(mesh.nE, 1), i)
v = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(1,prb.nT+1):
v[:,'b',i] = np.random.rand(mesh.nF, 1)
v[:,'e',i] = np.random.rand(mesh.nE, 1)
V1 = m.dot(prb.Gtvec(sigma, v, u))
V2 = v.fieldVec().dot(prb.Gvec(sigma, m, u).fieldVec())
V2 = v.tovec().dot(prb.Gvec(sigma, m, u).tovec())
self.assertLess(np.abs(V1-V2)/np.abs(V1), 1e-6)
def test_adjointJvecVsJtvec(self):
@@ -291,10 +296,11 @@ class TDEM_bDerivTests(unittest.TestCase):
sigma = self.sigma
m = np.random.rand(prb.mapping.nP)
d = np.random.rand(prb.nT)
d = np.random.rand(prb.survey.nD)
V1 = d.dot(prb.Jvec(sigma, m))
V2 = m.dot(prb.Jtvec(sigma, d))
print 'AdjointTest', V1, V2
self.assertLess(np.abs(V1-V2)/np.abs(V1), 1e-6)
@@ -0,0 +1,150 @@
import unittest
from SimPEG import *
import simpegEM as EM
plotIt = False
class TDEM_bDerivTests(unittest.TestCase):
def setUp(self):
cs = 5.
ncx = 20
ncy = 6
npad = 20
hx = [(cs,ncx), (cs,npad,1.3)]
hy = [(cs,npad,-1.3), (cs,ncy), (cs,npad,1.3)]
mesh = Mesh.CylMesh([hx,1,hy], '00C')
active = mesh.vectorCCz<0.
activeMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
mapping = Maps.ComboMap(mesh,
[Maps.ExpMap, Maps.Vertical1DMap, activeMap])
rxOffset = 40.
rx = EM.TDEM.RxTDEM(np.array([[rxOffset, 0., 0.]]), np.logspace(-4,-3, 20), 'bz')
tx = EM.TDEM.TxTDEM(np.array([0., 0., 0.]), 'VMD_MVP', [rx])
rx2 = EM.TDEM.RxTDEM(np.array([[rxOffset-10, 0., 0.]]), np.logspace(-5,-4, 25), 'bz')
tx2 = EM.TDEM.TxTDEM(np.array([0., 0., 0.]), 'VMD_MVP', [rx2])
survey = EM.TDEM.SurveyTDEM([tx,tx2])
self.prb = EM.TDEM.ProblemTDEM_b(mesh, mapping=mapping)
# self.prb.timeSteps = [1e-5]
self.prb.timeSteps = [(1e-05, 10), (5e-05, 10), (2.5e-4, 10)]
# self.prb.timeSteps = [(1e-05, 100)]
self.sigma = np.ones(mesh.nCz)*1e-8
self.sigma[mesh.vectorCCz<0] = 1e-1
self.sigma = np.log(self.sigma[active])
self.prb.pair(survey)
self.mesh = mesh
def test_DerivG(self):
"""
Test the derivative of c with respect to sigma
"""
# Random model and perturbation
sigma = np.random.rand(self.prb.mapping.nP)
f = self.prb.fields(sigma)
dm = 1000*np.random.rand(self.prb.mapping.nP)
h = 0.01
derChk = lambda m: [self.prb.AhVec(m, f).tovec(), lambda mx: self.prb.Gvec(sigma, mx, u=f).tovec()]
print '\ntest_DerivG'
passed = Tests.checkDerivative(derChk, sigma, plotIt=False, dx=dm, num=4, eps=1e-20)
self.assertTrue(passed)
def test_Deriv_dUdM(self):
prb = self.prb
prb.timeSteps = [(1e-05, 10), (0.0001, 10), (0.001, 10)]
mesh = self.mesh
sigma = self.sigma
dm = 10*np.random.rand(prb.mapping.nP)
f = prb.fields(sigma)
derChk = lambda m: [self.prb.fields(m).tovec(), lambda mx: -prb.solveAh(sigma, prb.Gvec(sigma, mx, u=f)).tovec()]
print '\n'
print 'test_Deriv_dUdM'
passed = Tests.checkDerivative(derChk, sigma, plotIt=False, dx=dm, num=4, eps=1e-20)
self.assertTrue(passed)
def test_Deriv_J(self):
prb = self.prb
prb.timeSteps = [(1e-05, 10), (0.0001, 10), (0.001, 10)]
mesh = self.mesh
sigma = self.sigma
# d_sig = 0.8*sigma #np.random.rand(mesh.nCz)
d_sig = 10*np.random.rand(prb.mapping.nP)
derChk = lambda m: [prb.survey.dpred(m), lambda mx: prb.Jvec(sigma, mx)]
print '\n'
print 'test_Deriv_J'
passed = Tests.checkDerivative(derChk, sigma, plotIt=False, dx=d_sig, num=4, eps=1e-20)
self.assertTrue(passed)
def test_projectAdjoint(self):
prb = self.prb
survey = prb.survey
mesh = self.mesh
# Generate random fields and data
f = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(prb.nT):
f[:,'b',i] = np.random.rand(mesh.nF, 1)
f[:,'e',i] = np.random.rand(mesh.nE, 1)
d_vec = np.random.rand(survey.nD)
d = Survey.Data(survey,v=d_vec)
# Check that d.T*Q*f = f.T*Q.T*d
V1 = d_vec.dot(survey.projectFieldsDeriv(None, v=f).tovec())
V2 = f.tovec().dot(survey.projectFieldsDeriv(None, v=d, adjoint=True).tovec())
self.assertLess((V1-V2)/np.abs(V1), 1e-6)
def test_adjointGvecVsGtvec(self):
mesh = self.mesh
prb = self.prb
m = np.random.rand(prb.mapping.nP)
sigma = np.random.rand(prb.mapping.nP)
u = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(1,prb.nT+1):
u[:,'b',i] = np.random.rand(mesh.nF, 2)
u[:,'e',i] = np.random.rand(mesh.nE, 2)
v = EM.TDEM.FieldsTDEM(prb.mesh, prb.survey)
for i in range(1,prb.nT+1):
v[:,'b',i] = np.random.rand(mesh.nF, 2)
v[:,'e',i] = np.random.rand(mesh.nE, 2)
V1 = m.dot(prb.Gtvec(sigma, v, u))
V2 = v.tovec().dot(prb.Gvec(sigma, m, u).tovec())
self.assertLess(np.abs(V1-V2)/np.abs(V1), 1e-6)
def test_adjointJvecVsJtvec(self):
mesh = self.mesh
prb = self.prb
sigma = self.sigma
m = np.random.rand(prb.mapping.nP)
d = np.random.rand(prb.survey.nD)
V1 = d.dot(prb.Jvec(sigma, m))
V2 = m.dot(prb.Jtvec(sigma, d))
print 'AdjointTest', V1, V2
self.assertLess(np.abs(V1-V2)/np.abs(V1), 1e-6)
if __name__ == '__main__':
unittest.main()
+8 -17
View File
@@ -22,22 +22,12 @@ def halfSpaceProblemAnaDiff(meshType, sig_half=1e-2, rxOffset=50., bounds=[1e-5,
actMap = Maps.ActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
mapping = Maps.ComboMap(mesh, [Maps.ExpMap, Maps.Vertical1DMap, actMap])
rx = EM.TDEM.RxTDEM(np.array([[rxOffset, 0., 0.]]), np.logspace(-5,-4, 21), 'bz')
tx = EM.TDEM.TxTDEM(np.array([0., 0., 0.]), 'VMD_MVP', [rx])
opts = {'txLoc':np.array([0., 0., 0.]),
'txType':'VMD_MVP',
'rxLoc':np.array([rxOffset, 0., 0.]),
'rxType':'bz',
'timeCh':np.logspace(-5,-4, 21),
}
survey = EM.TDEM.SurveyTDEM1D(**opts)
survey = EM.TDEM.SurveyTDEM([tx])
prb = EM.TDEM.ProblemTDEM_b(mesh, mapping=mapping)
prb.Solver = Utils.SolverUtils.DSolverWrap(sp.linalg.splu, factorize=True)
# try:
# from mumpsSCI import MumpsSolver
# prb.Solver = MumpsSolver
# except ImportError, e:
# pass
prb.timeSteps = [(1e-06, 40), (5e-06, 40), (1e-05, 40), (5e-05, 40), (0.0001, 40), (0.0005, 40)]
@@ -46,16 +36,17 @@ def halfSpaceProblemAnaDiff(meshType, sig_half=1e-2, rxOffset=50., bounds=[1e-5,
sigma = np.log(sigma[active])
prb.pair(survey)
bz_ana = mu_0*EM.Utils.Ana.hzAnalyticDipoleT(survey.rxLoc[0]+1e-3, prb.times[1:], sig_half)
bz_ana = mu_0*EM.Utils.Ana.hzAnalyticDipoleT(rx.locs[0][0]+1e-3, rx.times, sig_half)
bz_calc = survey.dpred(sigma)
ind = np.logical_and(prb.times[1:] > bounds[0],prb.times[1:] < bounds[1])
ind = np.logical_and(rx.times > bounds[0],rx.times < bounds[1])
log10diff = np.linalg.norm(np.log10(np.abs(bz_calc[ind])) - np.log10(np.abs(bz_ana[ind])))/np.linalg.norm(np.log10(np.abs(bz_ana[ind])))
print 'Difference: ', log10diff
if showIt == True:
plt.loglog(prb.times[1:][bz_calc>0], bz_calc[bz_calc>0], 'r', prb.times[1:][bz_calc<0], -bz_calc[bz_calc<0], 'r--')
plt.loglog(prb.times[1:], abs(bz_ana), 'b*')
plt.loglog(rx.times[bz_calc>0], bz_calc[bz_calc>0], 'r', rx.times[bz_calc<0], -bz_calc[bz_calc<0], 'r--')
plt.loglog(rx.times, abs(bz_ana), 'b*')
plt.title('sig_half = %e'%sig_half)
plt.show()